Digital biomarkers are revolutionizing the way healthcare professionals and researchers monitor, diagnose, and treat diseases. Enabled by digital technologies, these biomarkers provide objective, quantifiable physiological and behavioral data collected through connected devices such as smartphones, wearables, and sensors. Unlike traditional biomarkers, which rely on laboratory tests or imaging, digital biomarkers enable continuous, real-world monitoring, offering… Continue reading Digital Biomarkers: Transforming Healthcare Through Continuous and Real-World Monitoring
Category: Artificial Intelligence
AI-Driven Protocol Digitalization: Reshaping Clinical Research
The integration of artificial intelligence (AI) into clinical trial protocol digitalization is transforming key aspects of drug development. By applying analytical and predictive AI, there is the potential to design smarter, more efficient protocols, ensuring greater precision in endpoint definition, improved compliance, and reduced trial timelines. This article explores some of the applications AI… Continue reading AI-Driven Protocol Digitalization: Reshaping Clinical Research
Key Differences Between Digital Twins and Synthetic Data: Understanding Their Roles and Applications
Digital twins and synthetic data are both advanced tools used in data-driven fields like healthcare, engineering, and manufacturing, but they serve different purposes and operate in distinct ways. Here’s a breakdown of their differences: Definition Digital Twins: A digital twin is a real-time, virtual representation of a physical object, process, or system. It… Continue reading Key Differences Between Digital Twins and Synthetic Data: Understanding Their Roles and Applications